Staff Data Scientist

Key Skills: Data Scientist, Python, Hadoop

Roles and Responsibilities:

• Deep experience in building data science solutions in areas like fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment, and price optimization.
• Deep experience in simultaneously leading multiple data science initiatives end to end - from translating business needs to analytical asks, leading the process of building solutions, and the eventual act of deployment and maintenance of them.
• Strong experience in machine learning: Classification models, regression models, NLP, forecasting, unsupervised models, optimization, Graph ML, causal inference, causal ML, statistical learning, experimentation, and Gen-AI.
• In Gen-AI, desirable experience includes embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of retrieval-augmented generation-based LLM agents, model selection, iterative prompt engineering and fine-tuning based on accuracy and user feedback, monitoring, and governance.
• Ability to scale and deploy data science solutions.

Skills Required:

• Strong experience with one or more of Python and R.
• Experience in GCP/Azure.
• Strong experience in Python, PySpark.
• Google Cloud Platform, Vertex AI, Kubeflow, model deployment.
• Strong experience with big data platforms - Hadoop (Hive, Map Reduce, HQL, Scala).
• Experience with GPU/CUDA for computational efficiency.

Education: Master's with > 12 years OR Ph.D. with > 10 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area